KIP publications

 
year 2016
author(s) Yannik Stradmann
title Characterization and Calibration of a Mixed-Signal Leaky Integrate and Fire Neuron on HICANN-DLS
KIP-Nummer HD-KIP 16-87
KIP-Gruppe(n) F9
document type Bachelorarbeit
Abstract (en)

This thesis addresses the characterization and calibration of a full-custom mixed-signal Leaky Integrate and Fire (LIF) neuron circuit for highly accelerated neuromorphic hardware.
Using a self-developed software environment for the acquisition and storage of measurement data, various sub-circuits of overall 96 neurons on three HICANN-DLS prototype chips are characterized.

In particular, the function of the integrated capacitive parameter memory array is verified as well as the analog parts of all neuron circuits; namely its analog readout chain, leak- and reset circuitry and both synaptic inputs.
From the acquired data, achievable ranges of LIF model parameters are derived as well as possible improvements for future prototypes.

As final outcome, a mapping between hardware- and model parameters is established for each neuron, making them ready for practical use.

bibtex
@mastersthesis{stradmann2016,
  author   = {Yannik Stradmann},
  title    = {Characterization and Calibration of a Mixed-Signal Leaky Integrate and Fire Neuron on HICANN-DLS},
  school   = {Universit\"at Heidelberg},
  year     = {2016},
  type     = {Bachelorarbeit}
}
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